Title of article :
How is Coronavirus distributed in the world? A Spatial-Temporal Assessment Using Geographic Information System Approach
Author/Authors :
Shadi Nazari, Sayede Department of Zanjan University of Medical Sciences, Zanjan , Norouzi, Solmaz Biostatistics Department of Zanjan University of Medical Sciences, Zanjan , Asghari Jafar-abadi, Mohammad Road Traffic Injury Research Center - Faculty of Health - Tabriz University of Medical Sciences
Abstract :
Background and objective: Prevalence and the spread of novel Coronavirus
(2019-ncov) cause significant life and financial destruction worldwide and is the cause of severe respiratory infection in humans. The present study briefly reviews
the latest information on how the virus is distributed around the world. The main
question of the study are: 1- In which geographic regions of the world is the
Coronavirus more concentrated? 2- Is the distribution of the Coronavirus
geographically stable?
Methods: To answer these questions, we first began collecting and studying the
available scientific resources. The required data was obtained from a daily report
of confirmed, recovered, and deaths by the Coronavirus separated by state which
was collected from January 22, 2020 to Jun 19, 2020. Based on analyzing
available patterns in spatial statistics tool in ArcGIS and geostatistical models, we
examined how the Coronavirus was distributed around the world.
Results: The spread of the disease is increasing all over the world. Using the
results of Map 1, it is seen that the spread of Corona virus has a trend and starts in
China and then spreads to the Middle East, Europe and the United States in a
linear manner. The results also show that the prevalence of mortality is higher
than that of recovery. Central mean and median for all types (Confirmed,
Recovered and death) are close to each other. Death mean and median was close
to Western countries and Recovered mean and median was close to Eastern
countries, while confirmed mean and median was located in the center.
Conclusion: Based on spatial statistics tool in ArcGIS and geostatistical models,
we examined how the Coronavirus was distributed around the world. Our results
showed that the spread of Corona virus had a trend and started in China and then spread to the Middle East, Europe and the United States in a likely linear manner.
Keywords :
COVID-19 , pandemic , ArcGIS , Spatial Statistics Tools
Journal title :
Jorjani Biomedicine Journal